Question: When performing K - means Clustering, it is considered vital to scale the variables before clustering. This is done primarily to: make the model less

When performing K-means Clustering, it is considered vital to scale the variables before
clustering. This is done primarily to:
make the model less susceptib
convert all the features to a col
avoid multicollinearity among th
treat missing values to make the
When performing K - means Clustering, it is

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